Detection and Delineation of Water Bodies in Hilly Region using CartoDEM, SRTM and ASTER GDEM Data

Sainath Aher, Komali Kantamaneni, Pragati Pragati Deshmukh

Research output: Contribution to journalArticle

Abstract

Detection and delineation of Water Body Area (WBA), particularly over inaccessible hilly region is not always possible in view of time, resources and cost issues. An automated procedure for detection and delineation of water bodies in the hilly region was performed using satellite-derived DEMs. CartoDEM, SRTM and ASTER GDEM data with 30, 90 and 30m resolutions, respectively to generate the Elevation Points Features (EPF) in GIS platform. Total 7194906 EPFs were generated using these three DEMs. Contour and slope maps were also prepared to eliminate the outlier EPFs (non-water bodies) with flattered surface logic. Flattened area on DEMs, connected contour at edges of water bodies and 0° to 0.5° slopping area were considered as WBA in the region (2311 Km2) of Western Ghat (India). The nearest neighbor to cubic convolution conversion of DEMs was found useful for detection of boundary of water bodies more precisely. These results were validated from Landsat- 8 satellite images and topographic maps (Survey of India). About 3.09% from CartoDEM, 2.22% area from ASTER GDEM and 2.05% from SRTM DEM were estimated as WBA. CartoDEM data can be suggested for precise detection of smaller water bodies in hilly region. Methodology formulated in this study could be used as a rapid assessment tool for detection of water bodies, especially in the inaccessible region for better water resources management.
Original languageEnglish
Article numberdx.doi.org/10.21523/gcj1.17010103
Pages (from-to)41-52
JournalRemote Sensing of Land
Volume1
Issue number1
Publication statusPublished - Oct 2017

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Shuttle Radar Topography Mission
ASTER
digital elevation model
water body
detection
outlier
Landsat
GIS
methodology
resource

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Aher, S., Kantamaneni, K., & Pragati Deshmukh, P. (2017). Detection and Delineation of Water Bodies in Hilly Region using CartoDEM, SRTM and ASTER GDEM Data. Remote Sensing of Land, 1(1), 41-52. [dx.doi.org/10.21523/gcj1.17010103].
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abstract = "Detection and delineation of Water Body Area (WBA), particularly over inaccessible hilly region is not always possible in view of time, resources and cost issues. An automated procedure for detection and delineation of water bodies in the hilly region was performed using satellite-derived DEMs. CartoDEM, SRTM and ASTER GDEM data with 30, 90 and 30m resolutions, respectively to generate the Elevation Points Features (EPF) in GIS platform. Total 7194906 EPFs were generated using these three DEMs. Contour and slope maps were also prepared to eliminate the outlier EPFs (non-water bodies) with flattered surface logic. Flattened area on DEMs, connected contour at edges of water bodies and 0° to 0.5° slopping area were considered as WBA in the region (2311 Km2) of Western Ghat (India). The nearest neighbor to cubic convolution conversion of DEMs was found useful for detection of boundary of water bodies more precisely. These results were validated from Landsat- 8 satellite images and topographic maps (Survey of India). About 3.09{\%} from CartoDEM, 2.22{\%} area from ASTER GDEM and 2.05{\%} from SRTM DEM were estimated as WBA. CartoDEM data can be suggested for precise detection of smaller water bodies in hilly region. Methodology formulated in this study could be used as a rapid assessment tool for detection of water bodies, especially in the inaccessible region for better water resources management.",
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Aher, S, Kantamaneni, K & Pragati Deshmukh, P 2017, 'Detection and Delineation of Water Bodies in Hilly Region using CartoDEM, SRTM and ASTER GDEM Data' Remote Sensing of Land, vol. 1, no. 1, dx.doi.org/10.21523/gcj1.17010103, pp. 41-52.

Detection and Delineation of Water Bodies in Hilly Region using CartoDEM, SRTM and ASTER GDEM Data. / Aher, Sainath; Kantamaneni, Komali; Pragati Deshmukh, Pragati.

In: Remote Sensing of Land, Vol. 1, No. 1, dx.doi.org/10.21523/gcj1.17010103, 10.2017, p. 41-52.

Research output: Contribution to journalArticle

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